get_dashboard_statistics

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It mentions the output format but does not explicitly state that the operation is read-only, has no side effects, or any permissions requirements. The 'Get' verb implies a read, but this is not explicitly disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is succinct, immediately states the purpose, and includes a brief 'Returns' section. Every sentence adds value and there is no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple no-parameter statistics tool, the description provides enough information about the output. It does not mention any limitations (e.g., scope, freshness of data), but given the tool's simplicity, this is acceptable. The presence of an output schema also reduces the need to describe return values in detail.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters, so schema coverage is 100% vacuously and baseline is 4. The description adds no parameter information because there are none to describe. It correctly implies the tool requires no arguments.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function with a specific verb ('Get') and resource ('requirements dashboard statistics'). The 'Returns' line elaborates on the output, making it distinct from sibling tools like get_requirement or generate_traceability_matrix.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when dashboard statistics are needed, but it provides no explicit guidance on when to choose this over alternatives such as generate_traceability_matrix or search_requirements. There are no stated exclusions or preferred contexts.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.